The Estimation of Parameters of Pulse Signals Having an Unknown Form That Are Observed against the Background of the Additive Mixture of the White Gaussian Noise and a Linear Component with Unknown Parameters

The algorithm estimating the parameters of pulse signals having an unknown form is suggested. The signals are observed against the background of the additive mixture of the white Gaussian noise and a linear component with unknown parameters. It is shown that the suggested approach based on using the contrast method, the moments method, and the properties of complete sufficient statistics provides for the estimate efficiency and does not require the a priori information about the form, time position, duration, and amplitude of the pulse signal, as well as about the parameters of the background component. The comparison with the algorithms oriented to the known form of the signal is performed.